Predicting the 90-day prognosis of stereotactic brain hemorrhage patients by multiple machine learning using radiomic features combined with clinical features

Predicting the 90-day prognosis of stereotactic brain hemorrhage patients by multiple machine learning using radiomic features combined with clinical features

Hypertensive Intracerebral Hemorrhage (HICH) is one of the most common types of cerebral hemorrhage with a high mortality and disability rate. Currently, preoperative non-contrast computed tomography (NCCT) scanning-guided stereotactic hematoma removal has achieved good results in treating HICH, but...

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Bibliographic Details
Main Authors: Jinwei Li, Cong Liang, Junsun Dang, Yang Zhang, Hongmou Chen, Xianlei Yan, Quan Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Surgery
Subjects:
hypertensive cerebral hemorrhage
radiomic features
predictive model
machine learning
stereotactic hematoma removal
Online Access:https://www.frontiersin.org/articles/10.3389/fsurg.2024.1344263/full

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https://www.frontiersin.org/articles/10.3389/fsurg.2024.1344263/full

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